A Fundamental Study of 3D-Measurement Technology Using Digital Camera and GPS

Author(s):  
Hirokazu Muraki ◽  
Shigenori Tanaka ◽  
Hitosi Furuta ◽  
Etuji Kitagawa
2006 ◽  
Vol 48 ◽  
pp. 537-541 ◽  
Author(s):  
H B Wu ◽  
Y Chen ◽  
M Y Wu ◽  
C R Guan ◽  
X Y Yu

2016 ◽  
Vol 88 (6) ◽  
pp. 621-629 ◽  
Author(s):  
Lei Wang ◽  
Bugao Xu ◽  
Weidong Gao

Most photoelectric and imaging methods for yarn hairiness measurements often provide underestimated data of hairy fibers measured from light projection, which ignores the spatial orientations and shapes of protruding fibers. In this project, a three-dimensional (3D) system was developed to detect hairy fibers from multiple perspectives and to reconstruct a 3D model for the yarn that permits fibers to be traced spatially. The system utilized two angled planar mirrors to view a yarn from five different perspectives simultaneously, and a digital camera to capture the multiple images in one panoramic picture. The image-processing techniques were used to dissect the panoramic picture into five sub-images containing separate views of the yarn, and to segment the sub-images to obtain yarn silhouettes showing the edges of the yarn and hairy fibers. A 3D model of the yarn could be built by merging the five silhouettes with the angles defined by the scene geometry of the dual mirrors. From the 3D model, hairy fibers protruding from the yarn core could be traced in the space for accurate length measurements. The system represents a simple and practical solution for the 3D measurement of yarn hairiness.


2012 ◽  
Vol 256-259 ◽  
pp. 2324-2327
Author(s):  
Ying Jun Sun ◽  
Xin Guo Cui ◽  
Zun Yi Xu

A new method to realize 3D measurement and modeling based on Active Control System was put forward in the paper. The Active Control System included two parts: one was for the calibration of digital camera, and the other was for the six-freedom control of digital camera. This method enlarged the intersection angle and improves the intersection precision by multi-baseline photography; enlarges the angle of view by panning photography, and resolves the difficulty of matching for images with large intersection angle. The experiments proved that this method can acquire the high accuracy and improves the production efficiency.


2012 ◽  
Vol 542-543 ◽  
pp. 635-638
Author(s):  
Ke Zhang ◽  
Zhao Gao

The 3D measurement based on stereo vision, as a new measurement technology, has been widely used in reverse engineering, robot vision and quality control, etc. In this paper, the basic principle and method of calibrating 3D measurement system based on stereo vision respectively using genetic algorithm and neural network was introduced. Then the measurement system was calibrated and the precision of 3D measurement system was compared. The experimental results indicate that the method based on BP neural network can improve the precision of measurement better.


Micromachines ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 57 ◽  
Author(s):  
Gailing Hu ◽  
Xiang Zhou ◽  
Guanliang Zhang ◽  
Chunwei Zhang ◽  
Dong Li ◽  
...  

In traditional laser-based 3D measurement technology, the width of the laser stripe is uncontrollable and uneven. In addition, speckle noise in the image and the noise caused by mechanical movement may reduce the accuracy of the scanning results. This work proposes a new multiple laser stripe scanning profilometry (MLSSP) based on microelectromechanical systems (MEMS) scanning mirror which can project high quality movable laser stripe. It can implement full-field scanning in a short time and does not need to move the measured object or camera. Compared with the traditional laser stripe, the brightness, width and position of the new multiple laser stripes projected by MEMS scanning mirror can be controlled by programming. In addition, the new laser strip can generate high-quality images and the noise caused by mechanical movement is completely eliminated. The experimental results show that the speckle noise is less and the light intensity distribution is more even. Furthermore, the number of pictures needed to be captured is significantly reduced to 1 / N ( N is the number of multiple laser stripes projected by MEMS scanning mirror) and the measurement efficiency is increased by N times, improving the efficiency and accuracy of 3D measurement.


2021 ◽  
Vol 60 (12) ◽  
Author(s):  
Zhenjie Wang ◽  
Shaoli Liu ◽  
Jia Hu ◽  
Wenxiong Zhang ◽  
Hao Huang ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document